Extraction of action rules for chronic kidney disease using Naïve bayes classifier

Chronic kidney disease (CKD), also known as chronic renal disease, which is progressive loss in kidney function over a period of months or years. It is defined by the presence of kidney damage or decreased glomerular filtration rate (GFR). The estimated prevalence of CKD is about 9-13% in the general adult population. Individuals with CKD have a far greater likelihood of cardiovascular death than progression to end-stage renal disease. CKD is more prevalent in patients with CVD or with CVD related risk factors, such as hypertension, diabetes mellitus, dyslipidemia, and metabolic syndrome In proposed work, we are not only extracting action rules based on stages but also predicting CKD by using naïve bayes with OneR attribute selector which helps to prevent the advancing of chronic renal disease to further stages.